PhD: Autonomous Decentralized ATM | Hybrid/Remote

Koninklijk Nederlands Lucht- en Ruimtevaartcentrum; Amsterdam; On-site; EUR 36,000 - 48,000; Full time

Benefits offered by this job

4-year research contract

Enrollment in TU Delft Doctoral School

Hybrid work arrangement (2 days in AMS

Job summary

The Koninklijk Nederlands Lucht- en Ruimtevaartcentrum (NLR) invites applications for a four-year PhD position in Air Traffic Management and CNS networking. This multidisciplinary project aims to design and evaluate a decentralized architecture using an aeronautical ad-hoc network, enabling cooperative localization and surveillance.

You will develop distributed algorithms, implement models in an ATM simulation platform, and stress-test performance under disruption, collaborating with TU Delft

Qualifications

• Master’s degree in a relevant field or equivalent research experience.
• Strong analytical and mathematical foundation for complex systems modelling.
• Experience with distributed systems and network protocols is preferred.
• Proficient in Python or other programming languages and scientific reporting.

Responsibilities

• Design, model, and evaluate a decentralized ATM/CNS architecture.
• Develop distributed algorithms for traffic management and cooperative localization.
• Implement models in an ATM simulation platform and assess performance under disruption.
• Collaborate with TU Delft and NLR colleagues to deliver research outcomes.

Skills

Python programming

Distributed systems

Analytical thinking

English communication

Education

Master’s degree in Aerospace Engineering / Computer Science / Applied Mathematics (or related field)

Tools

BlueSky simulator

Job description

The Koninklijk Nederlands Lucht- en Ruimtevaartcentrum (NLR) invites applications for a four-year PhD position in Air Traffic Management and CNS networking. This multidisciplinary project aims to design and evaluate a decentralized architecture using an aeronautical ad-hoc network, enabling cooperative localization and surveillance.

You will develop distributed algorithms, implement models in an ATM simulation platform, and stress-test performance under disruption, collaborating with TU Delft